CN109977009B - Switch state control method and system based on rule engine - Google Patents

Switch state control method and system based on rule engine Download PDF

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CN109977009B
CN109977009B CN201910146621.3A CN201910146621A CN109977009B CN 109977009 B CN109977009 B CN 109977009B CN 201910146621 A CN201910146621 A CN 201910146621A CN 109977009 B CN109977009 B CN 109977009B
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rule
target
rule expression
expression
cloud
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CN109977009A (en
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刘碧林
王小光
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Shenzhen Yunbu Games Network Technology Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3604Software analysis for verifying properties of programs
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The embodiment of the invention discloses a method and a system for controlling a switch state based on a rule engine, wherein the method comprises the following steps: the cloud pre-configures the condition items to generate an initial rule expression; the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end; the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression. The light rule engine based on operators does not need to write complicated conditional expressions by users; the multi-terminal joint judgment introduces self-contained keywords and conditional sequences, and directly issues mathematical expressions to other terminals when the cloud terminal cannot determine the switch state, and the user terminal judges the multi-terminal joint judgment by itself, so that the simplified rule engine occupies less resources and can be used at the mobile terminal.

Description

Switch state control method and system based on rule engine
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and a system for controlling a switch state based on a rule engine.
Background
With the development of the mobile internet, various App layers are endless and various in functions. Apps often provide a personalized experience to the user through switch control, and the state of a switch is often determined by a number of factors. The switch state in the prior art is difficult to configure due to the influence of a plurality of factors, and when the switch state is influenced by dynamic factors, the switch state needs to be judged manually, so that the feedback efficiency is low.
The prior art is therefore still in need of further development.
Disclosure of Invention
Aiming at the technical problems, the invention provides a switch state control method and a switch state control system based on a rule engine, which can solve the technical problems that the switch state is difficult to configure due to the influence of a plurality of factors and the feedback efficiency is low due to the fact that the switch state needs to be judged manually when the switch state is influenced by dynamic factors in the prior art.
A first aspect of an embodiment of the present invention provides a rule engine-based on-off state control method, including:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression.
Optionally, the cloud pre-configures the condition item to generate an initial rule expression, including:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Optionally, submitting the initial rule expression to a rule engine, generating a target rule expression, and issuing the target rule expression to a user end;
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
Optionally, the method includes that the user end obtains a target rule expression issued by the cloud end, and generates a target state of the switch according to the target rule expression, including:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
Optionally, the condition items include channels, total payments, territories, blacklists, and whitelists.
A second aspect of an embodiment of the present invention provides a rule engine-based switch state control system, the system including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression.
Optionally, the computer program when executed by the processor further implements the steps of:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Optionally, the computer program when executed by the processor further implements the steps of:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
Optionally, the computer program when executed by the processor further implements the steps of:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
A third aspect of the embodiments of the present invention provides a non-volatile computer-readable storage medium, where the non-volatile computer-readable storage medium stores computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the rule engine-based on-off state control method described above.
In the technical scheme provided by the embodiment of the invention, the cloud side configures the condition items in advance to generate an initial rule expression; the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end; the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression. Therefore, compared with the prior art, the embodiment of the invention uses a light rule engine based on operators without writing complicated conditional expressions; the multi-terminal joint judgment introduces self-contained keywords and conditional sequences, and directly issues mathematical expressions to other terminals when the cloud terminal cannot determine the switch state, and the user terminal judges the multi-terminal joint judgment by itself, so that the simplified rule engine occupies less resources and can be used at the mobile terminal.
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FIG. 1 is a flow chart of an embodiment of a rule engine based switch state control method according to an embodiment of the present invention;
fig. 2 is a schematic hardware structure diagram of another embodiment of a rule engine-based switch state control system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating an embodiment of a rule engine-based switch state control method according to an embodiment of the invention. As shown in fig. 1, includes:
step S100, the cloud pre-configures the condition items to generate an initial rule expression;
step 200, the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
step S300, the user terminal obtains a target rule expression issued by the cloud terminal, and generates a target state of the switch according to the target rule expression.
Specifically, APP in the prior art has a problem that the configuration is difficult when the switch state of the mobile terminal is affected by a plurality of factors, and the feedback efficiency of the switch is low when the dynamic factors affect the change.
The cloud configuration center selects condition items, configures values of the conditions, generates a rule expression, and gives the rule expression to a rule engine for calculation to generate a new rule expression; and issuing the new rule expression to a using end, embedding own parameters by the using end, and delivering the parameters to a rule engine for calculation to generate the final state of the switch.
The condition items may be: channel, general payment, area, black/white list, etc.; the relational operators AND, OR, AND the operator selects the required condition configuration, AND the possible expression is channel in oppp, vivi AND pay >500,OR area in 518000.
The final result can be obtained by filling the values of the fields by the user end (client or other service calling end), and various if-else judgments are omitted.
And the user end acquires a rule expression, preliminarily judges the state of the switch, embeds the environment parameters of the user end if the environment parameters cannot be confirmed, calculates by a rule engine, and generates the final state of the switch.
The operator-based light rule engine is self-developed, and a user does not need to write a complex conditional expression; multi-terminal joint judgment, introducing self-contained keywords and conditional sequences, directly issuing mathematical expressions to other terminals when the cloud cannot determine the switch state, and automatically judging by a using terminal;
the simplified rule engine occupies less resources and can be used at the mobile terminal.
The step S100 specifically includes:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Specifically, an operator configures at the cloud, the cloud selects a condition item, obtains each condition of the condition item, configures operation rules of each condition, configures a threshold of the condition, and stores the operation rules and the threshold of each condition as an initial rule expression.
Further, step S200 includes:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
In specific implementation, cloud operators select condition items, configure values of the conditions, store the values as rules, input simulation values and view states in real time.
Further, the client obtains a target rule expression issued by the cloud, and generates a target state of the switch according to the target rule expression, including:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
When the method is implemented, a user side acquires a rule expression, uses a rule engine to calculate for the first time, returns when the switch state can be confirmed, uses context parameters to recalculate when the switch state cannot be confirmed, uses the environment change to recalculate and switches the state;
after the operator configures the conditions, the server side can store the conditions in the database and generate a rule expression, the user side retrieves the expression to be stored locally through an http request, and the user side only needs to transmit the value into a recalculation result without judging the server side when the expression contains pay >500 and pay=100 and pay=600.
From the above method embodiments, the method of the present invention comprises: the cloud pre-configures the condition items to generate an initial rule expression; the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end; the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression. The embodiment of the invention has the following technical advantages: the operator-based light rule engine is used for avoiding writing complex conditional expressions by users; multi-terminal joint judgment, introducing self-contained keywords and conditional sequences, directly issuing mathematical expressions to other terminals when the cloud cannot determine the switch state, and automatically judging by a using terminal; the simplified rule engine occupies less resources and can be used at the mobile terminal.
The rule engine-based on-off state control method in the embodiment of the present invention is described above, and the rule engine-based on-off state control system in the embodiment of the present invention is described below, referring to fig. 2, fig. 2 is a schematic hardware structure diagram of another embodiment of a rule engine-based on-off state control system in the embodiment of the present invention, as shown in fig. 2, the system 10 includes: memory 101, processor 102, and a computer program stored on the memory and executable on the processor, which when executed by processor 101, performs the steps of:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the client acquires a target rule expression issued by the cloud and generates a target state of the switch according to the target rule expression.
Specifically, APP in the prior art has a problem that the configuration is difficult when the switch state of the mobile terminal is affected by a plurality of factors, and the feedback efficiency of the switch is low when the dynamic factors affect the change.
The cloud configuration center selects condition items, configures values of the conditions, generates a rule expression, and gives the rule expression to a rule engine for calculation to generate a new rule expression; and issuing the new rule expression to a using end, embedding own parameters by the using end, and delivering the parameters to a rule engine for calculation to generate the final state of the switch.
The condition items may be: channel, general payment, area, black/white list, etc.; the relational operators AND, OR, AND the operator selects the required condition configuration, AND the possible expression is channel in oppp, vivi AND pay >500,OR area in 518000.
The final result can be obtained by filling the values of the fields by the user end (client or other service calling end), and various if-else judgments are omitted.
And the user end acquires a rule expression, preliminarily judges the state of the switch, embeds the environment parameters of the user end if the environment parameters cannot be confirmed, calculates by a rule engine, and generates the final state of the switch.
The operator-based light rule engine is self-developed, and a user does not need to write a complex conditional expression; multi-terminal joint judgment, introducing self-contained keywords and conditional sequences, directly issuing mathematical expressions to other terminals when the cloud cannot determine the switch state, and automatically judging by a using terminal;
the simplified rule engine occupies less resources and can be used at the mobile terminal.
Optionally, the computer program when executed by the processor 101 also implements the steps of:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting the threshold value of each condition of the condition items, and storing the condition operation rule and the threshold value as an initial rule expression.
Specifically, an operator configures at the cloud, the cloud selects a condition item, obtains each condition of the condition item, configures operation rules of each condition, configures a threshold of the condition, and stores the operation rules and the threshold of each condition as an initial rule expression.
Optionally, the computer program when executed by the processor 101 also implements the steps of:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
and outputting a corresponding expected value by the rule engine, taking the current initial rule expression as a target rule expression if the expected value is in a preset range, and issuing the target rule expression to a user end.
In specific implementation, cloud operators select condition items, configure values of the conditions, store the values as rules, input simulation values and view states in real time.
Optionally, the computer program when executed by the processor 101 also implements the steps of:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
When the method is implemented, a user side acquires a rule expression, uses a rule engine to calculate for the first time, returns when the switch state can be confirmed, uses context parameters to recalculate when the switch state cannot be confirmed, uses the environment change to recalculate and switches the state;
after the operator configures the conditions, the server side can store the conditions in the database and generate a rule expression, the user side retrieves the expression to be stored locally through an http request, and the user side only needs to transmit the value into a recalculation result without judging the server side when the expression contains pay >500 and pay=100 and pay=600.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, e.g., to perform the method steps S100-S300 of fig. 1 described above.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (4)

1. A method for controlling a switching state based on a rule engine, comprising:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and a target state of a switch is generated according to the target rule expression;
the cloud pre-configures the condition items to generate an initial rule expression, which comprises the following steps:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting a threshold value of each condition of the condition items, and storing a condition operation rule and the threshold value as an initial rule expression;
submitting the initial rule expression to a rule engine, generating a target rule expression, and issuing the target rule expression to a user end;
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
the rule engine outputs a corresponding expected value, if the expected value is in a preset range, the current initial rule expression is used as a target rule expression, and the target rule expression is issued to a user end;
the client acquires a target rule expression issued by the cloud, and generates a target state of the switch according to the target rule expression, including:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
2. The rule engine based on-off state control method of claim 1, wherein the condition items include channels, total payment, territories, blacklists and whitelists.
3. A rule engine based switch state control system, the system comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of:
the cloud pre-configures the condition items to generate an initial rule expression;
the cloud submits the initial rule expression to a rule engine, generates a target rule expression, and issues the target rule expression to a user end;
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and a target state of a switch is generated according to the target rule expression;
the computer program when executed by the processor further performs the steps of:
the cloud selects a condition item, and configures each condition operation rule of the condition item;
setting a threshold value of each condition of the condition items, and storing a condition operation rule and the threshold value as an initial rule expression;
the computer program when executed by the processor further performs the steps of:
submitting the initial rule expression to a rule engine, and inputting simulation parameters in the rule engine;
the rule engine outputs a corresponding expected value, if the expected value is in a preset range, the current initial rule expression is used as a target rule expression, and the target rule expression is issued to a user end;
the computer program when executed by the processor further performs the steps of:
the method comprises the steps that a user end obtains a target rule expression issued by a cloud end, and the user end obtains a switch state by using the target rule expression;
if the switch state cannot be obtained, parameters of the user end are obtained, recalculation is performed according to the target rule expression, and the target state of the switch is generated.
4. A non-transitory computer-readable storage medium storing computer-executable instructions which, when executed by one or more processors, cause the one or more processors to perform the rule engine-based switch state control method of any one of claims 1-2.
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Denomination of invention: A Rule Engine Based Switch State Control Method and System

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